Computational models of music, while providing good descriptions of melodic development, still cannot fully grasp the general structure comprised of repetitions, transpositions, and reuse of melodic material. We present a corpus of strongly structured baroque allemandes, and describe a top-down approach to abstract the shared structure of their musical content using tree representations produced from pairwise differences between the Schenkerian-inspired analyses of each piece, thereby providing a rich hierarchical description of the corpus. © 2021 ACM.

A new corpus for computational music research and a novel method for musical structure analysis

Filippo Carnovalini
;
Antonio Rodà;
2021

Abstract

Computational models of music, while providing good descriptions of melodic development, still cannot fully grasp the general structure comprised of repetitions, transpositions, and reuse of melodic material. We present a corpus of strongly structured baroque allemandes, and describe a top-down approach to abstract the shared structure of their musical content using tree representations produced from pairwise differences between the Schenkerian-inspired analyses of each piece, thereby providing a rich hierarchical description of the corpus. © 2021 ACM.
Proceedings of the 16th International Audio Mostly Conference
978-1-4503-8569-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3406037
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